Enable Shared Insights With an Effective Data Governance Engine

Empower data-driven decisions for operational excellence.

Onsite Workshop

Lack of a formalized data governance program will cause:

  • Inability to make good decisions.
  • Dissatisfaction from customers, partners, and suppliers.
  • Wasted time and efforts from sifting through duplicate and incomplete data.
  • Inadequate data for business operations.

A data governance program will:

  • Decrease the amount of duplicate, rogue, incomplete, and stale data to enhance user trust.
  • Provide quicker and more accurate business reports that are not conflicting and help to aid decision making.
  • Provide concrete data to back business decisions.
  • Enable strong customer/supplier relationships as there is little miscommunication or confusion around relevant data.
  • Save time and money by catching and clearing up data as it enters the system before it has a chance to impact the business.
  • Mitigate data compliance and security risks through appropriate data policies and procedures.

Module 1: Develop a Vision for the Data Governance Program

The Purpose

  • Identify key business data assets that need to be governed.
  • Create a unifying vision for the data governance program.

Key Benefits Achieved

  • Understand the value of data governance and how it can help the organization better leverage its data.
  • Gain knowledge of how data governance can benefit both IT and the business.

Activities: Outputs:
1.1 Establish business context and value of data governance to the organization
1.2 Assess the value, benefits, challenges, and opportunities associated with data governance
1.3 Develop the vision, purpose, and scope of data governance for the business
  • Defined and holistic data governance vision
1.4 Identify data governance enablers
1.5 Interview business stakeholders
  • IT and business leadership alignment
  • Business leadership communication plan
  • Data governance program charter

Module 2: Assess Data Flow in the Business

The Purpose

  • Assess which data contains value and/or risk and determine metrics that will determine how valuable the data is to the organization.
  • Assess where the organization currently stands in data governance initiatives.
  • Determine gaps between the current and future states of the data governance program.

Key Benefits Achieved

  • Gain a holistic understanding of organizational data and how it flows through business units and systems.
  • Identify which data should fall under the governance umbrella.
  • Determine a practical starting point for the program.

Activities: Outputs:
2.1 Evaluate the risks and value of critical data
2.2 Map and understand the flow of data within the business
  • Data governance scope
2.3 Identify data sources and users
  • Data flow diagram with identified key data sources and users
2.4 Assess current data governance capabilities
  • Data governance maturity assessment
2.5 Set target data governance capabilities
  • Business data glossary
2.6 Identify performance gaps

Module 3: Analyze Gaps and Develop Initiatives

The Purpose

  • Determine strategic initiatives and create a roadmap outlining key steps required to get the organization to start enabling data-driven insights.
  • Determine timing of the initiatives.

Key Benefits Achieved

  • Establish clear direction for the data governance program.
  • Step-by-step outline of how to create effective data governance, with true business-IT collaboration. 

Activities: Outputs:
3.1 Evaluate performance gaps for remediation
3.2 Develop alignment of initiatives to strategies
3.3 Consolidate data governance initiatives and strategies
  • Data policy templates
  • Job descriptions and RACI
3.4 Develop a project timeline and define key success factors
  • Data governance initiative plan and timeline

Module 4: Design Roadmap and Plan Implementation

The Purpose

  • Consolidate the roadmap and other strategies to determine the plan of action from Day One.
  • Create the required policies, procedures, and positions for data governance to be sustainable and effective.

Key Benefits Achieved

  • Prioritized initiatives with dependencies mapped out.
  • A clearly communicated plan for data governance that will have full business backing.

Activities: Outputs:
4.1 Develop a plan of action
  • Data governance roadmap
4.2 Prioritize actions
  • Action plan
4.3 Build a data governance roadmap (short and long term)
  • Business case presentation
  • Job descriptions

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